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Fix: Use tuple for multidimensional indexing in distributed.py #3277

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Fix: Use tuple for multidimensional indexing in distributed.py #3277

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Adding tuple based multidimensional indexing in distributed.py
VijayVignesh1 Sep 30, 2025
24c90c3
Merge branch 'master' into patch/multidimensional_indexing_warning
mergify[bot] Oct 6, 2025
9d85be2
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SkafteNicki Oct 6, 2025
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2 changes: 1 addition & 1 deletion src/torchmetrics/utilities/distributed.py
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Original file line number Diff line number Diff line change
Expand Up @@ -147,7 +147,7 @@ def gather_all_tensors(result: Tensor, group: Optional[Any] = None) -> List[Tens
torch.distributed.all_gather(gathered_result, result_padded, group)
for idx, item_size in enumerate(local_sizes):
slice_param = [slice(dim_size) for dim_size in item_size]
gathered_result[idx] = gathered_result[idx][slice_param]
gathered_result[idx] = gathered_result[idx][tuple(slice_param)]
# to propagate autograd graph from local rank
gathered_result[torch.distributed.get_rank(group)] = result
return gathered_result
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